85 citations · 108 across the 4 of their papers we have counts for
5 papers
The Structure of Systematicity in the Brain
Randall C. O'Reilly, Charan Ranganath, Jacob L. Russin
A hallmark of human intelligence is the ability to adapt to new situations, by applying learned rules to new content (systematicity) and thereby enabling an open-ended number of in…
Compositional Processing Emerges in Neural Networks Solving Math Problems
Jacob Russin, Roland Fernandez, Hamid Palangi +4
A longstanding question in cognitive science concerns the learning mechanisms underlying compositionality in human cognition. Humans can infer the structured relationships (e.g., g…
Complementary Structure-Learning Neural Networks for Relational Reasoning
Jacob Russin, Maryam Zolfaghar, Seongmin A. Park +2
The neural mechanisms supporting flexible relational inferences, especially in novel situations, are a major focus of current research. In the complementary learning systems framew…
Deep Predictive Learning in Neocortex and Pulvinar
Randall C. O'Reilly, Jacob L. Russin, Maryam Zolfaghar +1
How do humans learn from raw sensory experience? Throughout life, but most obviously in infancy, we learn without explicit instruction. We propose a detailed biological mechanism f…
Compositional generalization in a deep seq2seq model by separating syntax and semantics
Jake Russin, Jason Jo, Randall C. O'Reilly +1
Standard methods in deep learning for natural language processing fail to capture the compositional structure of human language that allows for systematic generalization outside of…